Project #3: Data Visualization using Pandas and Matplotlib

This project is a collection of the simplest yet essential samples of data visualization through popular libraries Pandas and Matplotlib.

1. Time plot

Given the database Shipments.csv, I was able to create a plot for time series data of US household appliance shipments from the year 1985 until 1989. This time plot is useful in identifying transport trends of domestic devices across US with a given period of time.

2. Scatter plot

In order to identify the best sales project for an intensive sales campaign, I was able to generate a visualization of 24 households based on Income (in $1000s) and Lot size (in 1000 sqft).

3. Bar graph

For this exercise, the dataset from London Computer Chain contains laptop sales for the month of January 2008 across all its 16 branches within England. I created a bar graph to compare generated sales from one retail channel to another, according to average retail price per store.

4. Box plot

Although not entirely evident, it can be concluded from the bar graph that stores W4 3PH and N17 6QA raked in the most revenue. In order to better understand the sales distribution between these 2 top-performing branches for the same month, I created a side-by-side boxplot.

In data analysis, I give importance to story-telling not only for data analysts but also, and most importantly, for decision-makers. This is exactly why I commit to producing straightforward and veracious reports as a data/ business analyst.